MNE-CPP: A Framework for Electrophysiology
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Updated
May 9, 2024 - C++
MNE-CPP: A Framework for Electrophysiology
MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.
A Python implementation of the Preprocessing Pipeline (PREP) for EEG data
Python routines for parsing of combined EEG and eye-tracking data
MNE-preprocessing is a python repository to reduce artifacts based on basic and unanimous approaches step by step from electroencephalographic (EEG) raw data.
Classify whether a patient is having ASD or not using EEG Data. [NOTE] This project is no longer maintained. An active version is now in https://github.com/nirdslab/asd-detection
🧠Quality assessor for EEG recordings 🧠
Hand gesture classification by optomyographical sensor signals
🧠 + 🚗 Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system
Neural Architectures for the Detection of ASD using EEG and IRT
[DEPRECATED] EEG Frequency Visualizer - MNE
Jupiter notebook with EEG-data classification problem from the MNE library
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